Psychometric properties of the Autism-Spectrum Quotient in both clinical and non-clinical samples: Chinese version for mainland China

Zhang, Long; Sun, Yaoting; Chen, Fangfang; Wu, De; Tang, Jue; Han, Xiao-peng; Ye, Jianguo; Wang, Kai

doi:10.1186/s12888-016-0915-5

Cited by 89 publications

(48 citation statements)

References 48 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Taken together, our findings add evidence for the discriminant validity of the AQ-C across cultures. In addition, similar score pattern that ASD sample scored higher than general population was also found in research using adolescent and adult versions of the AQ [ Baron-Cohen et al, 2001;Baron-Cohen, Hoekstra, Knickmeyer, & Wheelwright, 2006;Sonie et al, 2013;Zhang et al, 2016], indicating the discriminative power of AQ scales across ages.…”

Section: Discriminant Validity and Cut-off Scoresupporting

confidence: 74%

Psychometric properties of the chinese version of autism spectrum quotient‐children's version: A sex‐specific analysis

et al. 2018

View full text Add to dashboard Cite

A Simplified Chinese translation of the Autism Spectrum Quotient‐Children's Version (AQ‐C) is needed for research in mainland China. Autism Spectrum Disorder (ASD) is a condition that differs in presentation and prevalence by sex. Thus, evaluating the psychometric validity of the AQ‐C in males and females is an important step in its validation. The present study aims to develop a Chinese translation of the parent‐report AQ‐C, and test its psychometric properties among Mandarin Chinese speaking boys and girls. A total of 1,020 non‐clinical children and 134 children with ASD were assessed. Factor analyses were performed for the whole sample, as well as for girls and boys separately. A 30‐item, 5‐factor model (the Chinese AQ‐C) showed adequate goodness of fit (root mean square error of approximation [RMSEA] = 0.037; comparative fit index [CFI] = 0.907; Tucker‐Lewis index [TLI] = 0.901) for the whole sample. According to parents' reports, non‐clinical boys had significantly higher scores than non‐clinical girls on the Chinese AQ‐C. Sex‐specific factor structures were identified resulting in a 4‐factor model with 32 items for girls (the Chinese AQ‐Girls), and a 4‐factor model with 34 items for boys (the Chinese AQ‐Boys). The cut‐off scores of the Chinese AQ‐C, AQ‐Girls, and AQ‐Boys were 44.5, 42.5, and 46.5, respectively. These three Chinese versions of the AQ‐C all showed satisfactory internal consistency (α = 0.786–0.840) and concurrent validity with the Social Responsiveness Scale (r = 0.789–0.814) for the total scale. Differences have been found in the sex‐specific factor structures of the AQ‐C which would be more reliable to use for future research when measuring autistic traits in the general population. Autism Res 2019, 12: 303–315 © 2018 International Society for Autism Research, Wiley Periodicals, Inc. Lay Summary This study developed Chinese versions of the Autism Spectrum Quotient‐Children's Version (AQ‐C) in Chinese boys and girls together and separately. The AQ‐C showed good psychometric properties in boys and girls together and separately. There were differences in sex‐specific factor structures of the AQ‐C. These results suggest that the sex‐specific Chinese versions of the AQ‐C provide reliable and valid measurement of autistic traits.

show abstract

Section: Discriminant Validity and Cut-off Scoresupporting

confidence: 74%

Psychometric properties of the chinese version of autism spectrum quotient‐children's version: A sex‐specific analysis

et al. 2018

View full text Add to dashboard Cite

show abstract

“…The Obsessive–Compulsive Inventory‐Revised (OCI‐R; Foa et al, ; Peng, Yang, Miao, Jing, & Chan, ) was used to assess obsessive–compulsive traits, which contains six subdimensions (washing, obsessing, hoarding, ordering, checking, and neutralizing). We used the Autism‐Spectrum Quotient (AQ; Baron‐Cohen, Wheelwright, Skinner, Martin, & Clubley, ; Zhang et al, ) to measure autistic traits, which contains five subdimensions, including social skills, attention switching, attention to detail, communication, and imagination. Higher scores on these measurements indicated more risk features.…”

Section: Methodsmentioning

confidence: 99%

“…Higher scores on these measurements indicated more risk features. All scales showed good psychometric properties and have been widely used in the Chinese population (Chen et al, ; Peng et al, ; Wang, Ding, et al, ; Zhang et al, ). Details of the scales can be found in Appendix S1.…”

Section: Methodsmentioning

confidence: 99%

Network structure of anticipatory pleasure and risk features: Evidence from a large college sample

et al. 2019

View full text Add to dashboard Cite

Investigating the relationship between anticipatory pleasure deficits and risk features of mental disorders not only theoretically benefits the understanding of anhedonia, but could also facilitate early detection and intervention of mental disorders. Using network analysis, the present study examined the pattern of relationship between anticipatory pleasure and risk features of schizophrenia spectrum, depressive, anxiety, autism spectrum, and obsessive-compulsive disorders in a large sample of college students (n = 2152). It was found that interpersonal features of schizotypal personality traits and poor social skills of autistic traits showed strong correlation with low social anticipatory pleasure. Depressive symptoms severity was weakly associated with reduced abstract anticipatory pleasure, while obsessive-compulsive traits were weakly associated with high contextual anticipatory pleasure. No significant correlation was found between anxiety symptoms severity and anticipatory pleasure.Social anticipatory pleasure had the highest strength centrality among all anticipatory pleasure components, while interpersonal features of schizotypal personality traits had the highest strength centrality in the whole network. Our findings suggest that impaired anticipatory pleasure, especially social anticipatory pleasure, is a particular feature of schizotypal personality traits and autistic traits. Our findings may have implications for intervention in that the social component may be a target to improve anhedonia in individuals with schizotypal and autistic traits, while interpersonal features may be a key treatment target given that it was central to the relationship between anticipatory pleasure and risk features.High incidence of comorbidity between diagnostic categories and heterogeneity in presentation within disorders (Kotov et al., 2017) suggest that discrete divisions between diagnostic categories may be less well-defined than previously assumed and evidence suggests that symptom expression is continuous between disorders (Lambert et al., 2018;

show abstract

“…Higher scores indicated a greater number of autistic personality traits. In Mainland China, the AQ total has an internal consistency of 0.806 and test-retest reliability has been recorded as 0.89 (Pearson’s r correlation coefficient) [ 32 ].…”

Section: Methodsmentioning

confidence: 99%

The mediating effects of childhood neglect on the association between schizotypal and autistic personality traits and depression in a non-clinical sample

Gong

Nie

et al. 2017

BMC Psychiatry

View full text Add to dashboard Cite

BackgroundAutistic personality traits (APT) and schizotypal personality traits (SPT) are associated with depression. However, mediating factors within these relationships have not yet been explored. Thus, the focus of the current study was to examine the effects of childhood neglect on the relationship between APT/SPT and depression.MethodsThis cross-sectional study was conducted on first-year students (N = 2469) at Hunan University of Chinese Medicine and Hengyang Normal College (Changsha, China). Participants completed surveys on APT, SPT, childhood neglect, abuse and depression.ResultsThrough correlational analyses, APT and SPT traits were positively correlated with childhood neglect and depression (p < 0.05). In a hierarchical regression analysis, among types of childhood maltreatment, emotional neglect (β = 0.112, p < 0.001) and physical neglect (β = 0.105, p < 0.001) were the strongest predictors of depression. Childhood neglect did not account for the relationships between APT/SPT and depression. Further analysis found that childhood neglect mediated the relationship between SPT and depression but not APT and depression.ConclusionsAmong types of childhood maltreatment, neglect was the strongest predicting factor for depression. Neglect did not account for the relationship between APT/SPT and depression but was a strong mediating factor between SPT and depression.

show abstract

Psychometric properties of the Autism-Spectrum Quotient in both clinical and non-clinical samples: Chinese version for mainland China

Cited by 89 publications

References 48 publications

Psychometric properties of the chinese version of autism spectrum quotient‐children's version: A sex‐specific analysis

Psychometric properties of the chinese version of autism spectrum quotient‐children's version: A sex‐specific analysis

Network structure of anticipatory pleasure and risk features: Evidence from a large college sample

The mediating effects of childhood neglect on the association between schizotypal and autistic personality traits and depression in a non-clinical sample

Contact Info

Product

Resources

About